Literature DB >> 29070470

[Association between hypertriglyceridemic waist?to?height ratio phenotype and chronic kidney disease in a community population in South China: a cross-sectional study].

Xiao-Fei Shao1, Bi-Fang Wu, Ai-Qun Liu, Bin Li, Yong-Qiang Li, Qin Zhou, He-Qun Zou.   

Abstract

OBJECTIVE: To investigate the relationship between hypertriglyceridemic waist to height ratio phenotype (HWHtR) and chronic kidney disease (CKD) in a community population in South China.
METHODS: A cross sectional study was conducted among 2142 residents in Zhuhai (Guangdong Province, China) from June to October of 2012. The HWHtR phenotype was defined as a waist to height ratio(WHtR) ≥0.55 and triglyceride level ≥2.0 mmol/L, based on which the participants were divided into HWHtR group and nonHWHtR group. CKD was defined as an eGFR<60 mL/min per 1.73 m2 or an ACR ≥30 mg/g. A logistic regression model was established to investigate the relationship between chronic kidney disease and HWHtR phenotype.
RESULTS: Compared with the nonHWHtR group, the HWHtR group had a higher prevalence of chronic kidney disease (11.1% vs 33%, P<0.001). Analysis using the logistic regression model showed that HWHtR was significantly associated with CKD in the unadjusted analyses (OR=3.23, 95% CI: 2.32-4.48, P<0.001). After adjustment for age, sex, history of hypertension, history of diabetes, systolic blood pressure, diastolic blood pressure, drinking, physical exercise, education and current smoking, HWHtR was significantly associated with CKD (OR=2.36, 95% CI: 1.52-3.67, P<0.001); the association of HWHtR and CKD was still significant after further adjustment for BMI (OR=2.12, 95%CI: 1.34-3.35, P<0.001).
CONCLUSION: Our finding suggests that HWHtR is associated with CKD in this community population.

Entities:  

Mesh:

Year:  2017        PMID: 29070470      PMCID: PMC6743962     

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  17 in total

1.  Prevalence of chronic kidney disease in China: a cross-sectional survey.

Authors:  Luxia Zhang; Fang Wang; Li Wang; Wenke Wang; Bicheng Liu; Jian Liu; Menghua Chen; Qiang He; Yunhua Liao; Xueqing Yu; Nan Chen; Jian-e Zhang; Zhao Hu; Fuyou Liu; Daqing Hong; Lijie Ma; Hong Liu; Xiaoling Zhou; Jianghua Chen; Ling Pan; Wei Chen; Weiming Wang; Xiaomei Li; Haiyan Wang
Journal:  Lancet       Date:  2012-03-03       Impact factor: 79.321

Review 2.  Kidney disease and obesity: epidemiology, mechanisms and treatment.

Authors:  Niels Olsen Saraiva Câmara; Kunitoshi Iseki; Holly Kramer; Zhi-Hong Liu; Kumar Sharma
Journal:  Nat Rev Nephrol       Date:  2017-01-16       Impact factor: 28.314

3.  Erratum to: Comparison of body mass index, waist circumference, and waist-height ratio in predicting functional outcome following ischemic stroke.

Authors:  Kyusik Kang; Wong-Woo Lee; Jung-Ju Lee; Jong-Moo Park; Ohyun Kwon; Byung Kun Kim
Journal:  J Thromb Thrombolysis       Date:  2017-08       Impact factor: 2.300

4.  Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity.

Authors:  Margaret Ashwell; Shiun Dong Hsieh
Journal:  Int J Food Sci Nutr       Date:  2005-08       Impact factor: 3.833

5.  Association of Anthropometric indexes with chronic kidney disease in a Chinese population.

Authors:  Shanying Chen; Bide Wu; Xinyu Liu; Youming Chen; Yongqiang Li; Mi Li; Yan Liang; Xiaofei Shao; Harry Holthöfer; Hequn Zou
Journal:  Clin Nephrol       Date:  2013-11       Impact factor: 0.975

6.  Association between non-alcoholic fatty liver disease and chronic kidney disease in population with prediabetes or diabetes.

Authors:  Yongqiang Li; Shuangshuang Zhu; Bin Li; Xiaofei Shao; Xinyu Liu; Aiqun Liu; Bifang Wu; Ying Zhang; Honglei Wang; Xiaohong Wang; Kangping Deng; Qin Liu; Min Huang; Hongmei Liu; Harry Holthöfer; Hequn Zou
Journal:  Int Urol Nephrol       Date:  2014-08-07       Impact factor: 2.370

7.  Insulin resistance and metabolic syndrome in normal-weight individuals.

Authors:  Shanying Chen; Youming Chen; Xinyu Liu; Mi Li; Bide Wu; Yongqiang Li; Yan Liang; Xiaofei Shao; Harry Holthöfer; Hequn Zou
Journal:  Endocrine       Date:  2013-11-05       Impact factor: 3.633

8.  Waist-to-height ratio is the best index of obesity in association with chronic kidney disease.

Authors:  Chih-Hsueh Lin; Che-Yi Chou; Cheng-Chieh Lin; Chiu-Ching Huang; Chiu-Shong Liu; Shih-Wei Lai
Journal:  Nutrition       Date:  2007-09-20       Impact factor: 4.008

9.  Waist-to-height ratio and cardiovascular risk factors among Chinese adults in Beijing.

Authors:  Li Cai; Aiping Liu; Yumei Zhang; Peiyu Wang
Journal:  PLoS One       Date:  2013-07-12       Impact factor: 3.240

10.  Hypertriglyceridemic waist phenotype and chronic kidney disease in a Chinese population aged 40 years and older.

Authors:  Yongqiang Li; Chaomin Zhou; Xiaofei Shao; Xinyu Liu; Jia Guo; Ying Zhang; Honglei Wang; Xiaohong Wang; Bin Li; Kangping Deng; Qin Liu; Harry Holthöfer; Hequn Zou
Journal:  PLoS One       Date:  2014-03-24       Impact factor: 3.240

View more
  1 in total

1.  Waist height ratio predicts chronic kidney disease: a systematic review and meta-analysis, 1998-2019.

Authors:  Ling Liu; Yanqiu Wang; Wanjun Zhang; Weiwei Chang; Yuelong Jin; Yingshui Yao
Journal:  Arch Public Health       Date:  2019-12-18
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.